Atisbo is a product context layer that turns scattered customer evidence — tickets, calls, meetings, notes and strategy — into one connected record of signals, problems, decisions and outcomes that MCP-compatible AI agents can investigate and update.
What is Atisbo?
Atisbo is a product-evidence and decision workspace for product teams already working with AI agents. It ingests support tickets, sales calls, meeting transcripts, notes and strategy documents through integrations, email, webhooks, uploads or a capturing agent, classifies each item, and merges signals describing the same problem into one ranked Opportunity. The output is a live record of confirmed problems, evidence, decisions and open questions that Claude Code, Codex or Cursor can read over MCP, alongside local code, database MCPs and browser tools. A public core release is pending; the agent skills are available today.
Key Features
- Signal ingestion and classification — every incoming ticket, call, note or message is logged as it arrived and split into signal, review or noise, then grouped by product area.
- Opportunity ranking — each merged problem is scored on evidence volume, recency, urgency and strategic fit, and the order updates itself as new evidence arrives.
- MCP context server — Claude Code, Codex and Cursor pull a decision and its constraints before work starts, then write findings back to the same item.
- Resurgence detection — when new evidence lands on a resolved problem, Atisbo flags it so the team looks again before repeating work.
- Read-only integrations — roughly a thousand apps including Jira, Linear, Zendesk, Intercom and HubSpot, connected by asking an agent; Atisbo can never write into your tools.
- Public previews — group public feedback for Airbnb, Figma, Linear, Notion or Stripe without signing up.
- Unlimited seats — editors, readers, stakeholders and agents are unlimited on every tier; pricing scales with useful evidence processed.
- Outcome verification — when work is done, the agent checks that what shipped answers the evidence that asked for it.
What can you do with Atisbo?
- Product managers: confirm which problems are real and urgent from merged evidence rather than opinion, approve the order, and keep the reasoning attached to each decision.
- Engineering and design: open a problem, its customer quotes and the decision behind it from their own tools instead of asking a product manager to rebuild the brief.
- Engineering agents: pull the recorded decision and constraints over MCP before writing code, then write the design, pull request and risks back to the same item.
- Solo product builders: start free with 100 useful signals a month and open the workspace with public evidence already grouped into a backlog.
How does Atisbo work?
Four steps run between raw evidence and shipped work. Everything comes in from integrations, email, webhooks or uploads; it gets classified and matched against existing records; each problem is scored and ordered; then every line gets an owner — a person or an agent — and carries its evidence. The product team confirms problems, sets the order and approves work; Atisbo makes none of those decisions.
Pricing
Atisbo uses a freemium model across four tiers. Free costs nothing and processes 100 useful signals per month, with no card and no time limit. Cloud is a monthly base covering 500 useful signals plus $0.04 per additional signal. Core is the planned self-hosted option, with public release pending and infrastructure and model usage paid by you. Enterprise is custom, scoped around volume, security or procurement requirements. A signal is a new piece of evidence linked to its source and processed for the first time; reimports, retries and noise do not count.
Alternatives
- Productboard
- Dovetail
Atisbo's own FAQ contrasts itself with these as feature suites that include sprints, estimates, story points and sub-tasks.
FAQ
Is Atisbo free?
Yes. The Free tier processes 100 useful signals every month with no card required and no time limit. Cloud starts at a $50 monthly base including 500 useful signals, then $0.04 per additional signal, billed without block rounding.
Do I need an AI agent to use Atisbo?
An MCP-compatible agent such as Claude Code, Codex or Cursor is the main working surface for deep investigations. The workspace lets you and your team inspect the record, but your external agent subscription or model usage is billed separately.
Does Atisbo write into my existing tools?
No. Integrations are read-only and enforced in code, so Atisbo can never write into Jira, Linear or any other connected app. Your own agent can hold Atisbo and your tracker at the same time, so creating a Linear issue stays one instruction.
Is my data used to train AI models?
No. Data is encrypted in transit and at rest, never sold, rented or traded, and never used to train models. Each workspace is isolated at the database level, and disconnecting an integration or closing an account removes data from active systems within 30 days.
Can I self-host Atisbo?
Not yet. The public core release is pending. The planned open-core path lets you inspect and self-host the foundation while paying for your own infrastructure, models and maintenance. The agent skills are already public on GitHub.
